{"id":"W6939261364","doi":"10.6068/dp14ba8c46cfb28","title":"Most Recent Data (2005). Statistics Canada. CANSIM: Science and Technology - Innovation | Country: Canada | Table: Survey of innovation, logging and manufacturing industries, percentage of innovative plants using sources of information that provided information for new innovation projects | Variable: Medium importance, Other wood product manufacturing, Other plants or research and development laboratories in firm | Units: %, 2005. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-181.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Publication; Product (mathematics); Summary statistics; Business statistics; Statistical analysis; Logging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002602436,0.00255815,0.003040903,0.01081347,0.004341242,0.005673137,0.005376708,0.001681506,0.1033575],"category_scores_gemma":[0.0236708,0.00187816,0.002114254,0.05803226,0.0007824249,0.002738884,0.002466718,0.003389467,0.05888996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07479449,"about_ca_system_score_gemma":0.1854008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958979,"about_ca_topic_score_gemma":0.9938716,"domain_scores_codex":[0.9932224,0.000342156,0.000759335,0.0006661069,0.003471998,0.00153806],"domain_scores_gemma":[0.9404649,0.002040715,0.001555584,0.001231957,0.05236095,0.002345893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001925923,0.00000828645,0.0009369308,0.0002575062,0.0000148489,0.000005900029,0.00002218405,0.00009310796,0.000007788305,0.0002858103,0.9969366,0.001411749],"study_design_scores_gemma":[0.000159824,0.00001521565,0.03278937,0.0009379038,0.00008108389,0.00002392622,0.0007034399,0.0003371682,0.0001808168,0.0005209876,0.964156,0.00009434779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005185771,0.00004727248,0.00001709604,0.00011868,0.00002521834,0.00001508531,0.9987908,0.00004340963,0.0008905359],"genre_scores_gemma":[0.0008842775,0.0003295209,0.0003890544,0.0001996872,0.00002023726,0.0001389099,0.9926782,0.00009249247,0.005267504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1033575,"threshold_uncertainty_score":0.5426745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07346399797123619,"score_gpt":0.2822741259442061,"score_spread":0.2088101279729699,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}